Bayesian Information Criterion,Behavioral Control,Conditional Probability Density Function,Confidence Level,Confidence Region,Control Input,Elapsed Time,Expectation ...
Clay Halton was a Business Editor at Investopedia and has been working in the finance publishing field for more than five years. He also writes and edits personal finance content, with a focus on ...
12don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Nectins and nectin-like molecules (Necls) have recently emerged as cell adhesion molecules that have a variety of cellular functions, including cell movement, proliferation, differentiation, ...
Ginkgo biloba is a type of tree with fan-shaped leaves. For thousands of years, those who practice traditional Chinese medicine have been using the leaves from this tree to treat illnesses and health ...
Abstract: Diffusion models indirectly estimate the probability density over a data space, which can be used to study its structure. In this work, we show that geodesics can be computed in diffusion ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results